Filter Tips
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Logan Brown | X | 100.00 | 87 | 52 | 89 | 64 | 96 | 76 | 71 | 63 | 70 | 67 | 58 | 66 | 61 | 68 | 70 | 72 | 75 | 65 | 0 | ||||
| 2 | Anthony Richard | X | 100.00 | 60 | 38 | 83 | 68 | 67 | 85 | 83 | 66 | 63 | 65 | 62 | 61 | 64 | 70 | 72 | 49 | 75 | 64 | 0 | ||||
| 3 | Jakob Pelletier | X | 100.00 | 66 | 35 | 93 | 67 | 65 | 83 | 86 | 65 | 74 | 69 | 63 | 64 | 67 | 65 | 66 | 77 | 75 | 64 | 0 | ||||
| 4 | Sam Gagner | X | X | X | 100.00 | 63 | 37 | 93 | 64 | 72 | 86 | 71 | 65 | 74 | 66 | 58 | 64 | 67 | 76 | 78 | 11 | 75 | 64 | 0 | ||
| 5 | Austin Watson | X | X | X | 100.00 | 85 | 82 | 55 | 59 | 92 | 80 | 85 | 62 | 64 | 57 | 68 | 63 | 59 | 76 | 75 | 43 | 75 | 64 | 0 | ||
| 6 | Konsta Helenius | X | 100.00 | 64 | 37 | 89 | 66 | 70 | 84 | 86 | 65 | 68 | 67 | 61 | 62 | 63 | 60 | 62 | 86 | 75 | 63 | 0 | ||||
| 7 | Viljami Marjala (R) | X | 100.00 | 61 | 37 | 91 | 64 | 70 | 81 | 87 | 63 | 73 | 69 | 59 | 61 | 62 | 63 | 65 | 49 | 75 | 63 | 0 | ||||
| 8 | Jonas Rondbjerg | X | 100.00 | 69 | 38 | 92 | 60 | 82 | 84 | 81 | 57 | 54 | 59 | 58 | 61 | 56 | 67 | 69 | 55 | 75 | 62 | 0 | ||||
| 9 | Gabriel Fortier | X | 100.00 | 56 | 37 | 92 | 57 | 66 | 80 | 81 | 56 | 58 | 55 | 59 | 54 | 57 | 65 | 67 | 11 | 75 | 59 | 0 | ||||
| 10 | Chris Tierney | X | 100.00 | 56 | 29 | 79 | 54 | 66 | 68 | 70 | 56 | 72 | 58 | 50 | 57 | 55 | 65 | 62 | 11 | 75 | 57 | 0 | ||||
| 11 | German Rubtsov | X | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 11 | 75 | 42 | 0 | ||||
| 12 | Martin Kaut | X | X | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 11 | 75 | 42 | 0 | |||
| 13 | Shakir Mukhamadullin | X | 100.00 | 75 | 39 | 89 | 68 | 86 | 85 | 79 | 64 | 30 | 70 | 61 | 67 | 51 | 64 | 66 | 80 | 75 | 65 | 0 | ||||
| 14 | Robert Hagg | X | 100.00 | 91 | 42 | 75 | 61 | 82 | 78 | 81 | 58 | 30 | 60 | 56 | 63 | 52 | 72 | 71 | 11 | 75 | 63 | 0 | ||||
| 15 | Kevin Korchinski | X | 100.00 | 63 | 40 | 77 | 67 | 74 | 82 | 86 | 65 | 30 | 66 | 55 | 57 | 51 | 62 | 64 | 87 | 75 | 62 | 0 | ||||
| 16 | Corey Schueneman | X | 100.00 | 61 | 37 | 88 | 59 | 73 | 81 | 86 | 57 | 30 | 58 | 53 | 61 | 47 | 71 | 73 | 34 | 75 | 60 | 0 | ||||
| 17 | Carson Lambos | X | 100.00 | 64 | 39 | 79 | 59 | 77 | 75 | 86 | 57 | 30 | 55 | 54 | 61 | 45 | 63 | 65 | 80 | 75 | 59 | 0 | ||||
| 18 | Julius Honka | X | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 11 | 75 | 42 | 0 | ||||
| 19 | Gianni Fairbrother | X | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 11 | 75 | 42 | 0 | ||||
| Scratches | ||||||||||||||||||||||||||
| 1 | Rudolfs Balcers | X | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 11 | 75 | 42 | 0 | ||||
| 2 | Alex Galchenyuk | X | X | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 11 | 75 | 42 | 0 | |||
| 3 | Serron Noel | X | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 11 | 75 | 42 | 0 | ||||
| 4 | Matt Niskanen | X | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 11 | 75 | 42 | 0 | ||||
| TEAM AVERAGE | 100.00 | 58 | 41 | 69 | 55 | 63 | 66 | 67 | 54 | 50 | 55 | 52 | 54 | 51 | 58 | 58 | 37 | 75 | 55 | |||||||
Filter Tips
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jacob Fowler | 100.00 | 78 | 80 | 76 | 82 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 62 | 67 | 69 | 75 | 66 | 0 | |
| 2 | Mads Sogaard | 100.00 | 73 | 78 | 74 | 98 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 66 | 75 | 73 | 75 | 63 | 0 | |
| Scratches | ||||||||||||||||||||
| 1 | Hugo Alnefelt | 100.00 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 11 | 75 | 45 | 0 | |
| TEAM AVERAGE | 100.00 | 64 | 66 | 63 | 73 | 63 | 62 | 64 | 63 | 62 | 64 | 63 | 56 | 61 | 51 | 75 | 58 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Trevor Letowski | 69 | 68 | 74 | 63 | 73 | 68 | 77 | CAN | 49 | 3 | 2,000,000$ |
Filter Tips
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
Filter Tips
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
Filter Tips
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Status | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Galchenyuk | C/LW | 32 | 1994-02-12 | No | 194 Lbs | 6 ft1 | No | No | No | 2 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Anthony Richard | C | 29 | 1996-12-20 | No | 185 Lbs | 5 ft10 | Yes | No | No | 5 | UFA | Pro & Farm | 1,699,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Austin Watson | C/LW/RW | 34 | 1992-01-13 | No | 238 Lbs | 6 ft4 | No | No | No | 2 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Carson Lambos | D | 23 | 2003-01-14 | No | 197 Lbs | 6 ft1 | No | No | No | 2 | RFA | Pro & Farm | 863,334$ | 0$ | 0$ | No | Link / NHL Link | |
| Chris Tierney | C | 32 | 1994-07-01 | No | 191 Lbs | 6 ft1 | No | No | No | 2 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Corey Schueneman | D | 31 | 1995-09-02 | No | 197 Lbs | 5 ft11 | No | No | No | 2 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Gabriel Fortier | C | 26 | 2000-02-06 | No | 177 Lbs | 5 ft10 | No | No | No | 4 | RFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| German Rubtsov | C | 28 | 1998-06-27 | No | 178 Lbs | 6 ft2 | No | No | No | 3 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Gianni Fairbrother | D | 26 | 2000-09-03 | No | 192 Lbs | 6 ft0 | No | No | No | 4 | RFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Hugo Alnefelt | G | 25 | 2001-06-04 | No | 177 Lbs | 6 ft2 | No | No | No | 4 | RFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Jacob Fowler | G | 21 | 2004-11-24 | No | 223 Lbs | 6 ft1 | No | No | No | 2 | ELC | Pro & Farm | 923,333$ | 0$ | 0$ | No | Link / NHL Link | |
| Jakob Pelletier | LW | 25 | 2001-03-07 | No | 172 Lbs | 5 ft10 | No | No | No | 3 | RFA | Pro & Farm | 800,000$ | 0$ | 0$ | No | Link / NHL Link | |
| Jonas Rondbjerg | RW | 27 | 1999-03-31 | No | 206 Lbs | 6 ft2 | Yes | No | No | 5 | RFA | Pro & Farm | 1,699,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Julius Honka | D | 30 | 1995-12-03 | No | 180 Lbs | 5 ft11 | No | No | No | 2 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Kevin Korchinski | D | 22 | 2004-06-21 | No | 185 Lbs | 6 ft1 | No | No | No | 2 | ELC | Pro & Farm | 918,333$ | 0$ | 0$ | No | Link / NHL Link | |
| Konsta Helenius | C | 20 | 2006-05-11 | No | 190 Lbs | 5 ft11 | No | No | No | 2 | ELC | Pro & Farm | 942,500$ | 0$ | 0$ | No | Link / NHL Link | |
| Logan Brown | C | 28 | 1998-03-05 | No | 218 Lbs | 6 ft6 | Yes | No | No | 5 | UFA | Pro & Farm | 1,699,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Mads Sogaard | G | 25 | 2000-12-13 | No | 231 Lbs | 6 ft7 | No | No | No | 2 | RFA | Pro & Farm | 775,000$ | 0$ | 0$ | No | Link / NHL Link | |
| Martin Kaut | LW/RW | 26 | 1999-10-02 | No | 190 Lbs | 6 ft2 | No | No | No | 3 | RFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Matt Niskanen | D | 39 | 1986-12-06 | No | 203 Lbs | 6 ft1 | No | No | No | 2 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Robert Hagg | D | 31 | 1995-02-08 | No | 210 Lbs | 6 ft2 | No | No | No | 2 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Rudolfs Balcers | LW | 29 | 1997-04-08 | No | 182 Lbs | 5 ft11 | No | No | No | 2 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Sam Gagner | C/LW/RW | 37 | 1989-08-10 | No | 200 Lbs | 5 ft11 | No | No | No | 3 | UFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Serron Noel | RW | 26 | 2000-08-08 | No | 216 Lbs | 6 ft5 | No | No | No | 4 | RFA | Pro & Farm | 1,499,999$ | 0$ | 0$ | No | Link / NHL Link | |
| Shakir Mukhamadullin | D | 24 | 2002-01-10 | No | 200 Lbs | 6 ft4 | No | No | No | 2 | RFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link / NHL Link | |
| Viljami Marjala | C | 23 | 2003-01-29 | Yes | 178 Lbs | 6 ft0 | No | No | No | 2 | RFA | Pro & Farm | 872,500$ | 0$ | 0$ | No | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 26 | 27.65 | 197 Lbs | 6 ft1 | 2.81 | 1,334,422$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | |||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Penalty Shots |
|---|
| , , , , |
| Goalie |
|---|
| #1 : , #2 : |
| Custom OT Lines Forwards |
|---|
| , , , , , , , , , , |
| Custom OT Lines Defensemen |
|---|
| , , , , |
Filter Tips
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 10 | 13 | L2 | 45 | 86 | 131 | 494 | 489 | 178 | 76 | 317 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 10 | 5 | 3 | 1 | 1 | 0 | 0 | 45 | 40 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 3 | 1 | 0 | 1 | 0 | 0 | 27 | 22 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 2 | 2 | 1 | 0 | 0 | 0 | 18 | 18 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 6 | 3 | 0 | 1 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 24 | 5 | 20.83% | 36 | 5 | 86.11% | 1 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 149 | 157 | 187 | 1 | 20 | 15 | 9 | 1 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 228 | 433 | 52.66% | 225 | 452 | 49.78% | 79 | 175 | 45.14% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 221 | 161 | 267 | 66 | 111 | 54 |
Last Played Games
Filter Tips
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|---|---|---|---|---|---|---|---|---|---|
| 5 - 2026-09-22 | 27 |  Senators | 2 |  Marlies | 4 | L | BoxScore | |||
| 7 - 2026-09-24 | 41 | Senators | 6 |  Bruins | 5 | W | X | BoxScore | ||
| 8 - 2026-09-25 | 45 | Senators | 4 |  Griffins | 2 | W | BoxScore | |||
| 10 - 2026-09-27 | 61 |  Phantoms | 4 | Senators | 5 | W | BoxScore | |||
| 12 - 2026-09-29 | 80 |  Admirals | 2 | Senators | 8 | W | BoxScore | |||
| 14 - 2026-10-01 | 88 | Senators | 6 |  Comets | 3 | W | BoxScore | |||
| 15 - 2026-10-02 | 96 |  Thunderbirds | 6 | Senators | 5 | L | X | BoxScore | ||
| 17 - 2026-10-04 | 112 |  Islanders | 3 | Senators | 4 | W | BoxScore | |||
| 19 - 2026-10-06 | 130 | Senators | 0 | Phantoms | 4 | L | BoxScore | |||
| 23 - 2026-10-10 | 153 |  Checkers | 7 | Senators | 5 | L | BoxScore | |||
| 24 - 2026-10-11 | 158 |  Barracuda | - | Senators | - | |||||
| 26 - 2026-10-13 | 176 |  Wolf Pack | - | Senators | - | |||||
| 29 - 2026-10-16 | 197 | Senators | - |  Silver Knights | - | |||||
| 31 - 2026-10-18 | 212 | Senators | - |  Reign | - | |||||
| 33 - 2026-10-20 | 222 | Senators | - | Barracuda | - | |||||
| 34 - 2026-10-21 | 231 | Senators | - |  Gulls | - | |||||
| 37 - 2026-10-24 | 247 | Senators | - |  Americans | - | |||||
| 40 - 2026-10-27 | 270 |  Roadrunners | - | Senators | - | |||||
| 43 - 2026-10-30 | 289 |  Bears | - | Senators | - | |||||
| 45 - 2026-11-01 | 301 |  Eagles | - | Senators | - | |||||
| 47 - 2026-11-03 | 321 | Senators | - |  Penguins | - | |||||
| 50 - 2026-11-06 | 341 | Senators | - |  Moose | - | |||||
| 52 - 2026-11-08 | 351 | Phantoms | - | Senators | - | |||||
| 54 - 2026-11-10 | 366 | Reign | - | Senators | - | |||||
| 56 - 2026-11-12 | 379 |  Heat | - | Senators | - | |||||
| 58 - 2026-11-14 | 391 | Senators | - | Checkers | - | |||||
| 60 - 2026-11-16 | 406 | Senators | - |  Crunch | - | |||||
| 61 - 2026-11-17 | 418 | Senators | - |  Wolves | - | |||||
| 63 - 2026-11-19 | 430 | Senators | - | Admirals | - | |||||
| 66 - 2026-11-22 | 451 | Comets | - | Senators | - | |||||
| 68 - 2026-11-24 | 471 | Crunch | - | Senators | - | |||||
| 69 - 2026-11-25 | 479 | Senators | - |  Rocket | - | |||||
| 71 - 2026-11-27 | 486 | Gulls | - | Senators | - | |||||
| 73 - 2026-11-29 | 505 | Silver Knights | - | Senators | - | |||||
| 75 - 2026-12-01 | 521 |  Condors | - | Senators | - | |||||
| 77 - 2026-12-03 | 531 | Americans | - | Senators | - | |||||
| 81 - 2026-12-07 | 559 |  IceHogs | - | Senators | - | |||||
| 83 - 2026-12-09 | 576 | Senators | - | IceHogs | - | |||||
| 90 - 2026-12-16 | 617 | Senators | - | Islanders | - | |||||
| 92 - 2026-12-18 | 628 |  Stars | - | Senators | - | |||||
| 94 - 2026-12-20 | 645 | Penguins | - | Senators | - | |||||
| 96 - 2026-12-22 | 662 | Senators | - | Bears | - | |||||
| 99 - 2026-12-25 | 687 | Senators | - | Roadrunners | - | |||||
| 100 - 2026-12-26 | 691 | Senators | - | Eagles | - | |||||
| 102 - 2026-12-28 | 705 | Senators | - | Thunderbirds | - | |||||
| 106 - 2027-01-01 | 734 | Senators | - | Stars | - | |||||
| 108 - 2027-01-03 | 747 | Moose | - | Senators | - | |||||
| 110 - 2027-01-05 | 759 | Senators | - | Crunch | - | |||||
| 112 - 2027-01-07 | 783 | Senators | - | Checkers | - | |||||
| 114 - 2027-01-09 | 794 | Marlies | - | Senators | - | |||||
| 117 - 2027-01-12 | 813 |  Monsters | - | Senators | - | |||||
| 119 - 2027-01-14 | 832 | Wolves | - | Senators | - | |||||
| 122 - 2027-01-17 | 849 | Bruins | - | Senators | - | |||||
| 124 - 2027-01-19 | 874 | Wolf Pack | - | Senators | - | |||||
| 134 - 2027-01-29 | 898 | Monsters | - | Senators | - | |||||
| 136 - 2027-01-31 | 903 | Senators | - | Monsters | - | |||||
| 138 - 2027-02-02 | 922 | Marlies | - | Senators | - | |||||
| 140 - 2027-02-04 | 934 | Senators | - |  Wild | - | |||||
| 142 - 2027-02-06 | 950 | Senators | - |  Firebirds | - | |||||
| 143 - 2027-02-07 | 959 | Senators | - |  Canucks | - | |||||
| 146 - 2027-02-10 | 984 | Senators | - | Heat | - | |||||
| 147 - 2027-02-11 | 988 | Senators | - | Condors | - | |||||
| 150 - 2027-02-14 | 1005 | Griffins | - | Senators | - | |||||
| 151 - 2027-02-15 | 1015 | Senators | - | Americans | - | |||||
| 155 - 2027-02-19 | 1045 | Senators | - | Comets | - | |||||
| 157 - 2027-02-21 | 1056 | Bruins | - | Senators | - | |||||
| 159 - 2027-02-23 | 1073 | Firebirds | - | Senators | - | |||||
| 160 - 2027-02-24 | 1085 | Americans | - | Senators | - | |||||
| 162 - 2027-02-26 | 1096 | Senators | - | Penguins | - | |||||
| 164 - 2027-02-28 | 1109 | Wild | - | Senators | - | |||||
| 166 - 2027-03-02 | 1128 | Rocket | - | Senators | - | |||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 167 - 2027-03-03 | 1136 | Canucks | - | Senators | - | |||||
| 169 - 2027-03-05 | 1150 | Senators | - | Wolf Pack | - | |||||
| 171 - 2027-03-07 | 1163 | Checkers | - | Senators | - | |||||
| 173 - 2027-03-09 | 1181 | Crunch | - | Senators | - | |||||
| 177 - 2027-03-13 | 1209 | Senators | - | Rocket | - | |||||
| 178 - 2027-03-14 | 1211 | Senators | - | Bruins | - | |||||
| 180 - 2027-03-16 | 1236 | Senators | - | Marlies | - | |||||
| 183 - 2027-03-19 | 1252 | Senators | - | Griffins | - | |||||
| 186 - 2027-03-22 | 1273 | Senators | - | Islanders | - | |||||
| 188 - 2027-03-24 | 1292 | Griffins | - | Senators | - | |||||
| 191 - 2027-03-27 | 1313 | Senators | - | Wolves | - | |||||
| 192 - 2027-03-28 | 1319 | Bears | - | Senators | - | |||||
| 194 - 2027-03-30 | 1338 | Rocket | - | Senators | - | |||||
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 20 | 10 |
| Attendance | 10,000 | 5,000 |
| Attendance PCT | 100.00% | 100.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 34 | 3000 - 100.00% | 47,500$ | 237,500$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 646,283$ | 3,469,499$ | 3,469,499$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 17,884$ | 409,167$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 1,757,500$ | 171 | 28,193$ | 4,821,003$ |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2017 | 78 | 24 | 49 | 0 | 0 | 4 | 0 | 1 | 481 | 585 | -104 | 39 | 17 | 21 | 0 | 0 | 1 | 0 | 0 | 252 | 269 | -17 | 39 | 7 | 28 | 0 | 0 | 3 | 0 | 1 | 229 | 316 | -87 | 53 | 481 | 855 | 1336 | 0 | 0 | 110 | 187 | 184 | 0 | 2257 | 597 | 764 | 893 | 6 | 2542 | 791 | 1860 | 1449 | 330 | 137 | 41.52% | 378 | 173 | 54.23% | 18 | 650 | 1227 | 52.97% | 709 | 1347 | 52.64% | 998 | 1907 | 52.33% | 1635 | 936 | 1672 | 726 | 1380 | 681 |
| 2019 | 82 | 38 | 32 | 0 | 4 | 2 | 3 | 3 | 236 | 238 | -2 | 41 | 18 | 18 | 0 | 0 | 0 | 2 | 3 | 116 | 127 | -11 | 41 | 20 | 14 | 0 | 4 | 2 | 1 | 0 | 120 | 111 | 9 | 95 | 236 | 431 | 667 | 6 | 3 | 96 | 60 | 73 | 12 | 2594 | 826 | 859 | 878 | 61 | 2900 | 797 | 505 | 1914 | 238 | 60 | 25.21% | 214 | 47 | 78.04% | 3 | 1409 | 2804 | 50.25% | 1551 | 3060 | 50.69% | 603 | 1248 | 48.32% | 1897 | 1301 | 1995 | 613 | 1069 | 533 |
| 2020 | 82 | 40 | 30 | 0 | 2 | 5 | 3 | 2 | 304 | 296 | 8 | 41 | 22 | 10 | 0 | 2 | 4 | 1 | 2 | 157 | 143 | 14 | 41 | 18 | 20 | 0 | 0 | 1 | 2 | 0 | 147 | 153 | -6 | 97 | 304 | 558 | 862 | 1 | 2 | 113 | 103 | 83 | 6 | 2999 | 974 | 992 | 1007 | 43 | 2983 | 831 | 588 | 1963 | 264 | 73 | 27.65% | 256 | 64 | 75.00% | 3 | 1523 | 2948 | 51.66% | 1570 | 3067 | 51.19% | 768 | 1400 | 54.86% | 2049 | 1464 | 1882 | 582 | 1027 | 519 |
| 2021 | 82 | 30 | 42 | 0 | 3 | 6 | 1 | 0 | 349 | 413 | -64 | 41 | 17 | 19 | 0 | 2 | 3 | 0 | 0 | 189 | 199 | -10 | 41 | 13 | 23 | 0 | 1 | 3 | 1 | 0 | 160 | 214 | -54 | 74 | 349 | 648 | 997 | 0 | 0 | 0 | 141 | 111 | 93 | 3827 | 0 | 1304 | 1248 | 1256 | 3984 | 1190 | 616 | 2391 | 274 | 54 | 19.71% | 270 | 81 | 70.00% | 2 | 1582 | 3477 | 45.50% | 1568 | 3561 | 44.03% | 659 | 1506 | 43.76% | 1793 | 1253 | 2154 | 586 | 994 | 472 |
| 2022 | 82 | 22 | 42 | 0 | 4 | 9 | 0 | 5 | 377 | 472 | -95 | 41 | 16 | 18 | 0 | 2 | 3 | 0 | 2 | 202 | 227 | -25 | 41 | 6 | 24 | 0 | 2 | 6 | 0 | 3 | 175 | 245 | -70 | 66 | 377 | 721 | 1098 | 1 | 0 | 0 | 158 | 118 | 97 | 4215 | 0 | 1385 | 1397 | 1352 | 4350 | 1224 | 663 | 2609 | 250 | 54 | 21.60% | 281 | 72 | 74.38% | 3 | 1677 | 3660 | 45.82% | 1660 | 3692 | 44.96% | 761 | 1600 | 47.56% | 1785 | 1260 | 2206 | 582 | 981 | 452 |
| 2023 | 82 | 28 | 43 | 0 | 3 | 5 | 1 | 2 | 393 | 458 | -65 | 41 | 12 | 22 | 0 | 1 | 4 | 1 | 1 | 196 | 241 | -45 | 41 | 16 | 21 | 0 | 2 | 1 | 0 | 1 | 197 | 217 | -20 | 71 | 393 | 756 | 1149 | 0 | 0 | 0 | 170 | 117 | 102 | 4337 | 0 | 1411 | 1450 | 1439 | 4491 | 1281 | 599 | 2665 | 253 | 55 | 21.74% | 287 | 74 | 74.22% | 1 | 1688 | 3688 | 45.77% | 1695 | 3763 | 45.04% | 731 | 1644 | 44.46% | 1816 | 1283 | 2140 | 576 | 993 | 473 |
| 2024 | 82 | 32 | 37 | 0 | 5 | 7 | 0 | 1 | 366 | 380 | -14 | 41 | 16 | 17 | 0 | 3 | 5 | 0 | 0 | 189 | 190 | -1 | 41 | 16 | 20 | 0 | 2 | 2 | 0 | 1 | 177 | 190 | -13 | 82 | 366 | 690 | 1056 | 2 | 0 | 0 | 153 | 114 | 94 | 3920 | 0 | 1270 | 1281 | 1328 | 3789 | 1157 | 650 | 2498 | 254 | 55 | 21.65% | 280 | 55 | 80.36% | 2 | 1564 | 3311 | 47.24% | 1608 | 3427 | 46.92% | 723 | 1528 | 47.32% | 1859 | 1336 | 2137 | 574 | 954 | 455 |
| 2025 | 82 | 25 | 40 | 0 | 5 | 6 | 6 | 0 | 367 | 392 | -25 | 41 | 12 | 23 | 0 | 1 | 1 | 4 | 0 | 177 | 202 | -25 | 41 | 13 | 17 | 0 | 4 | 5 | 2 | 0 | 190 | 190 | 0 | 78 | 367 | 694 | 1061 | 0 | 1 | 0 | 150 | 121 | 85 | 3889 | 0 | 1236 | 1321 | 1293 | 3880 | 1111 | 627 | 2648 | 265 | 47 | 17.74% | 290 | 71 | 75.52% | 0 | 1521 | 3354 | 45.35% | 1537 | 3404 | 45.15% | 669 | 1499 | 44.63% | 1873 | 1348 | 2133 | 562 | 962 | 457 |
| 2026 | 10 | 5 | 3 | 0 | 1 | 1 | 0 | 0 | 45 | 40 | 5 | 5 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 27 | 22 | 5 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 18 | 18 | 0 | 13 | 45 | 86 | 131 | 0 | 0 | 20 | 15 | 9 | 1 | 494 | 149 | 157 | 187 | 1 | 489 | 178 | 76 | 317 | 24 | 5 | 20.83% | 36 | 5 | 86.11% | 1 | 228 | 433 | 52.66% | 225 | 452 | 49.78% | 79 | 175 | 45.14% | 221 | 161 | 267 | 66 | 111 | 54 |
| Total Regular Season | 662 | 244 | 318 | 0 | 27 | 45 | 14 | 14 | 2918 | 3274 | -356 | 331 | 133 | 149 | 0 | 11 | 22 | 8 | 8 | 1505 | 1620 | -115 | 331 | 111 | 169 | 0 | 16 | 23 | 6 | 6 | 1413 | 1654 | -241 | 629 | 2918 | 5439 | 8357 | 10 | 6 | 339 | 1137 | 930 | 490 | 28532 | 2546 | 9378 | 9662 | 6779 | 29408 | 8560 | 6184 | 18454 | 2152 | 540 | 25.09% | 2292 | 642 | 71.99% | 33 | 11842 | 24902 | 47.55% | 12123 | 25773 | 47.04% | 5991 | 12507 | 47.90% | 14931 | 10346 | 16590 | 4871 | 8475 | 4100 |
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2019 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 20 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 9 | 17 | 26 | 0 | 0 | 2 | 3 | 4 | 0 | 113 | 38 | 38 | 37 | 0 | 196 | 55 | 40 | 117 | 5 | 0 | 0.00% | 19 | 4 | 78.95% | 0 | 63 | 132 | 47.73% | 85 | 182 | 46.70% | 27 | 58 | 46.55% | 86 | 57 | 103 | 28 | 49 | 24 |
| Total Playoff | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 20 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 9 | 17 | 26 | 0 | 0 | 2 | 3 | 4 | 0 | 113 | 38 | 38 | 37 | 0 | 196 | 55 | 40 | 117 | 5 | 0 | 0.00% | 19 | 4 | 78.95% | 0 | 63 | 132 | 47.73% | 85 | 182 | 46.70% | 27 | 58 | 46.55% | 86 | 57 | 103 | 28 | 49 | 24 |